Evidence map›Paper›PMID 39839409›Full record

ArticleFrontiers in public health2024

Higher triglyceride-glucose index and triglyceride glucose-body mass index protect against sarcopenia in Chinese middle-aged and older non-diabetic women: a cross-sectional study.

Min Li, Ying Liu, Lei Gao, Yongli Zheng, Luyao Chen, Yan Wang, Wei Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Min LiDepartment of Endocrinology, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.
Ying LiuDepartment of Radiology, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.
Lei GaoDepartment of Radiology, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.
Yongli ZhengDepartment of Radiology, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.
Luyao ChenDepartment of Endocrinology, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.
Yan WangDepartment of Endocrinology, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.
Wei ZhangDepartment of Radiology, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sarcopenia, an age-related complication, constitutes a major public health problem given the aging of the population. However, it is frequently overlooked and undertreated in mainstream practice. The study aimed to investigate the correlations between triglyceride-glucose (TyG) index and TyG-body mass index (BMI) and sarcopenia in non-diabetic middle-aged and older women and whether they would be helpful indicators of sarcopenia. Patients and methods: This cross-sectional study was conducted in the Department of Endocrinology, Hebei Medical University Third Hospital. This study prospectively enrolled 460 non-diabetic postmenopausal women aged ≥50 years. Results: As TyG and TyG-BMI increased, the prevalence of sarcopenia decreased. In multivariate analysis, the TyG index and TyG-BMI index were inversely associated with sarcopenia (OR: 0.492; 95% CI: 0.256-0.944 and OR: 0.948; 95% CI: 0.934-0.962). Women in the fourth TyG-BMI quartiles showed decreased OR of 0.009 (95% CI: 0.001-0.072) for sarcopenia with respect to first quartiles after adjusting confounding factors. The area under the curve (AUC) for TyG index in the diagnosis of sarcopenia was 0.598 (95% CI: 0.529-0.666), while the AUC for TyG-BMI index was 0.858 (95% CI: 0.816-0.899). Conclusion: Higher TyG index and TyG-BMI index protected against sarcopenia in non-diabetic middle-aged and older females. Moreover, the TyG-BMI index was a reliable and cost-efficient biomarker to predict sarcopenia.

Indexed as

Blood GlucoseBody Mass IndexSarcopeniaTriglyceridesAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMiddle AgedPrevalenceProspective StudiesBlood GlucoseTriglyceridesinsulin resistancemiddle-aged and older non-diabetic womensarcopeniatriglyceride glucose-body mass indextriglyceride-glucose index

Identifiers

PMID39839409
PMCPMC11747660

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.